An outlier is an observation that deviates so much from other observations as to arouse suspicion that it was generated by a different mechanism. Outlier detection has many applic...
An on-line recursive algorithm for training support vector machines, one vector at a time, is presented. Adiabatic increments retain the KuhnTucker conditions on all previously se...
Semisupervised clustering algorithms partition a given data set using limited supervision from the user. The success of these algorithms depends on the type of supervision and also...
This paper proposes a new mechanism called the Priority Token Bank for admission control, scheduling, and policing in integrated-services networks. In such networks, both arrival ...
While application end-point architectures have proven to be viable solutions for large-scale distributed applications such as distributed computing and file-sharing, there is lit...
Kunwadee Sripanidkulchai, Aditya Ganjam, Bruce M. ...